Hasil Pencarian - Andrew Janowczyk

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  1. 1
    Deep learning for digital pathology image analysis: A comprehensive tutorial with selected use cases

    Deep learning for digital pathology image analysis: A comprehensive tutorial with selected use cases oleh Andrew Janowczyk, Anant Madabhushi

    Diterbitkan 2016-01-01
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  2. 2
    Quantifying local heterogeneity via morphologic scale: Distinguishing tumoral from stromal regions

    Quantifying local heterogeneity via morphologic scale: Distinguishing tumoral from stromal regions oleh Andrew Janowczyk, Sharat Chandran, Anant Madabhushi

    Diterbitkan 2013-01-01
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  3. 3
    Quick Annotator: an open‐source digital pathology based rapid image annotation tool

    Quick Annotator: an open‐source digital pathology based rapid image annotation tool oleh Runtian Miao, Robert Toth, Yu Zhou, Anant Madabhushi, Andrew Janowczyk

    Diterbitkan 2021-11-01
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  4. 4
    MMO-Net (Multi-Magnification Organ Network): A use case for Organ Identification using Multiple Magnifications in Preclinical Pathology Studies

    MMO-Net (Multi-Magnification Organ Network): A use case for Organ Identification using Multiple Magnifications in Preclinical Pathology Studies oleh Citlalli Gámez Serna, Fernando Romero-Palomo, Filippo Arcadu, Jürgen Funk, Vanessa Schumacher, Andrew Janowczyk

    Diterbitkan 2022-01-01
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  5. 5
    A deep-learning classifier identifies patients with clinical heart failure using whole-slide images of H&E tissue.

    A deep-learning classifier identifies patients with clinical heart failure using whole-slide images of H&E tissue. oleh Jeffrey J Nirschl, Andrew Janowczyk, Eliot G Peyster, Renee Frank, Kenneth B Margulies, Michael D Feldman, Anant Madabhushi

    Diterbitkan 2018-01-01
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  6. 6
    Growth and Persistence of an Aerobic Microbial Community in Wyoming Bentonite MX-80 Despite Anoxic in situ Conditions

    Growth and Persistence of an Aerobic Microbial Community in Wyoming Bentonite MX-80 Despite Anoxic in situ Conditions oleh Niels Burzan, Roberta Murad Lima, Manon Frutschi, Andrew Janowczyk, Bharti Reddy, Andrew Rance, Nikitas Diomidis, Rizlan Bernier-Latmani

    Diterbitkan 2022-04-01
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  7. 7
    Quantitative nuclear histomorphometry predicts oncotype DX risk categories for early stage ER+ breast cancer

    Quantitative nuclear histomorphometry predicts oncotype DX risk categories for early stage ER+ breast cancer oleh Jon Whitney, German Corredor, Andrew Janowczyk, Shridar Ganesan, Scott Doyle, John Tomaszewski, Michael Feldman, Hannah Gilmore, Anant Madabhushi

    Diterbitkan 2018-05-01
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  8. 8
    Neoantigen-specific T-cell response after donor lymphocyte infusion associates with favorable outcome in a patient with i(12p) germ cell tumor, acute leukemia and sarcoma of the same clonal origin

    Neoantigen-specific T-cell response after donor lymphocyte infusion associates with favorable outcome in a patient with i(12p) germ cell tumor, acute leukemia and sarcoma of the sa... oleh Vassilis Genoud, Valérie Dutoit, Nhu-Nam Tran Thang, Andrew Janowczyk, Thomas McKee, Yves Chalandon, Petros Tsantoulis, Pierre-Yves Dietrich

    Diterbitkan 2024-01-01
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  9. 9
    Impact of scanner variability on lymph node segmentation in computational pathology

    Impact of scanner variability on lymph node segmentation in computational pathology oleh Amjad Khan, Andrew Janowczyk, Felix Müller, Annika Blank, Huu Giao Nguyen, Christian Abbet, Linda Studer, Alessandro Lugli, Heather Dawson, Jean-Philippe Thiran, Inti Zlobec

    Diterbitkan 2022-01-01
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  10. 10
    Biogeography of microbial bile acid transformations along the murine gut

    Biogeography of microbial bile acid transformations along the murine gut oleh Solenne Marion, Lyne Desharnais, Nicolas Studer, Yuan Dong, Matheus D. Notter, Suresh Poudel, Laure Menin, Andrew Janowczyk, Robert L. Hettich, Siegfried Hapfelmeier, Rizlan Bernier-Latmani

    Diterbitkan 2020-11-01
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  11. 11
    Engineering the future of 3D pathology

    Engineering the future of 3D pathology oleh Jonathan TC Liu, Sarah SL Chow, Richard Colling, Michelle R Downes, Xavier Farré, Peter Humphrey, Andrew Janowczyk, Tuomas Mirtti, Clare Verrill, Inti Zlobec, Lawrence D True

    Diterbitkan 2024-01-01
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  12. 12
    PatchSorter: a high throughput deep learning digital pathology tool for object labeling

    PatchSorter: a high throughput deep learning digital pathology tool for object labeling oleh Cédric Walker, Tasneem Talawalla, Robert Toth, Akhil Ambekar, Kien Rea, Oswin Chamian, Fan Fan, Sabina Berezowska, Sven Rottenberg, Anant Madabhushi, Marie Maillard, Laura Barisoni, Hugo Mark Horlings, Andrew Janowczyk

    Diterbitkan 2024-06-01
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  13. 13
    CohortFinder: an open-source tool for data-driven partitioning of digital pathology and imaging cohorts to yield robust machine-learning models

    CohortFinder: an open-source tool for data-driven partitioning of digital pathology and imaging cohorts to yield robust machine-learning models oleh Fan Fan, Georgia Martinez, Thomas DeSilvio, John Shin, Yijiang Chen, Jackson Jacobs, Bangchen Wang, Takaya Ozeki, Maxime W. Lafarge, Viktor H. Koelzer, Laura Barisoni, Anant Madabhushi, Satish E. Viswanath, Andrew Janowczyk

    Diterbitkan 2024-07-01
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  14. 14
    Computational pathology improves risk stratification of a multi-gene assay for early stage ER+ breast cancer

    Computational pathology improves risk stratification of a multi-gene assay for early stage ER+ breast cancer oleh Yuli Chen, Haojia Li, Andrew Janowczyk, Paula Toro, Germán Corredor, Jon Whitney, Cheng Lu, Can F. Koyuncu, Mojgan Mokhtari, Christina Buzzy, Shridar Ganesan, Michael D. Feldman, Pingfu Fu, Haley Corbin, Aparna Harbhajanka, Hannah Gilmore, Lori J. Goldstein, Nancy E. Davidson, Sangeeta Desai, Vani Parmar, Anant Madabhushi

    Diterbitkan 2023-05-01
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  15. 15
    Computer extracted gland features from H&E predicts prostate cancer recurrence comparably to a genomic companion diagnostic test: a large multi-site study

    Computer extracted gland features from H&E predicts prostate cancer recurrence comparably to a genomic companion diagnostic test: a large multi-site study oleh Patrick Leo, Andrew Janowczyk, Robin Elliott, Nafiseh Janaki, Kaustav Bera, Rakesh Shiradkar, Xavier Farré, Pingfu Fu, Ayah El-Fahmawi, Mohammed Shahait, Jessica Kim, David Lee, Kosj Yamoah, Timothy R. Rebbeck, Francesca Khani, Brian D. Robinson, Lauri Eklund, Ivan Jambor, Harri Merisaari, Otto Ettala, Pekka Taimen, Hannu J. Aronen, Peter J. Boström, Ashutosh Tewari, Cristina Magi-Galluzzi, Eric Klein, Andrei Purysko, Natalie NC Shih, Michael Feldman, Sanjay Gupta, Priti Lal, Anant Madabhushi

    Diterbitkan 2021-05-01
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